Instructions to use hf-internal-testing/tiny-random-FalconForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FalconForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-FalconForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FalconForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-FalconForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be0ebd9b830e5576c50b3d60b2cedcbba4aaf58f020667e3a0a466a496f20cfc
- Size of remote file:
- 233 kB
- SHA256:
- 3c050b6e4729eb4b7b41cc74d30933f3562dbfb20681e1e1647338aaa91e477f
路
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